Perform genome analysis and sequencing of data with Amazon Web
Services Genomics in the AWS Cloud: Analyzing Genetic Code Using
Amazon Web Services enables a person who has moderate familiarity
with AWS Cloud to perform full genome analysis and research. Using
the information in this book, you'll be able to take a FASTQ file
containing raw data from a lab or a BAM file from a service
provider and perform genome analysis on it. You'll also be able to
identify potentially pathogenic gene sequences. Get an introduction
to Whole Genome Sequencing (WGS) Make sense of WGS on AWS Master
AWS services for genome analysis Some key advantages of using AWS
for genomic analysis is to help researchers utilize a wide choice
of compute services that can process diverse datasets in analysis
pipelines. Genomic sequencers that generate raw data files are
located in labs on premises and AWS provides solutions to make it
easy for customers to transfer these files to AWS reliably and
securely. Storing Genomics and Medical (e.g., imaging) data at
different stages requires enormous storage in a cost-effective
manner. Amazon Simple Storage Service (Amazon S3), Amazon Glacier,
and Amazon Elastics Block Store (Amazon EBS) provide the necessary
solutions to securely store, manage, and scale genomic file
storage. Moreover, the storage services can interface with various
compute services from AWS to process these files. Whether you're
just getting started or have already been analyzing genomics data
using the AWS Cloud, this book provides you with the information
you need in order to use AWS services and features in the ways that
will make the most sense for your genomic research.
General
Imprint: |
John Wiley & Sons
|
Country of origin: |
United States |
Release date: |
June 2023 |
First published: |
2020 |
Authors: |
Catherine Vacher
• David Wall
|
Dimensions: |
231 x 185 x 18mm (L x W x T) |
Format: |
Paperback
|
Pages: |
336 |
ISBN-13: |
978-1-119-57337-1 |
Categories: |
Books
|
LSN: |
1-119-57337-8 |
Barcode: |
9781119573371 |
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